A Multi-Granularity Matching Attention Network for Query Intent Classification in E-commerce Retrieval-Reference-Cited by-同舟云学术

A Multi-Granularity Matching Attention Network for Query Intent Classification in E-commerce Retrieval

Published:2023-04-30 Issue: Volume: Page:
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Container-title:Companion Proceedings of the ACM Web Conference 2023
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Author:

Yuan Chunyuan¹^ORCID,Qiu Yiming¹^ORCID,Li Mingming¹^ORCID,Hu Haiqing¹^ORCID,Wang Songlin¹^ORCID,Xu Sulong¹^ORCID

Affiliation:

1. JD.com, Beijing, China, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543873.3584639

Reference21 articles.

1. Fengyu Cai, Wanhao Zhou, Fei Mi, and Boi Faltings. 2021. SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi-Intent Detection and Slot Filling. arXiv preprint arXiv:2108.11711 (2021).

2. Qian Chen, Zhu Zhuo, and Wen Wang. 2019. Bert for joint intent classification and slot filling. arXiv preprint arXiv:1902.10909 (2019).

3. Homa B Hashemi, Amir Asiaee, and Reiner Kraft. 2016. Query intent detection using convolutional neural networks. In International Conference on Web Search and Data Mining, Workshop on Query Understanding.

4. Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of NAACL-HLT. 4171–4186.

5. Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014).

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